A gradient based iterative algorithm for solving model updating problems of gyroscopic systems
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Publication:693633
DOI10.1016/j.apm.2011.12.016zbMath1252.70017OpenAlexW2012703036MaRDI QIDQ693633
Publication date: 7 December 2012
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2011.12.016
iterative algorithminverse problembest approximationmodel updatingquadratic eigenvalue problemgyroscopic systems
Systems arising from the discretization of structural vibration problems (70J50) Motion of the gyroscope (70E05)
Related Items (8)
An efficient algorithm based on Lanczos type of BCR to solve constrained quadratic inverse eigenvalue problems ⋮ Updating \(\star \)-palindromic quadratic systems with no spill-over ⋮ Alternating projection method for sparse model updating problems ⋮ An inverse eigenvalue problem in symmetric sparse quadratic model updating ⋮ A new iterative model updating technique based on least squares minimal residual method using measured modal data ⋮ An inverse quadratic eigenvalue problem for damped gyroscopic systems ⋮ Gradient-based parameter identification algorithms for observer canonical state space systems using state estimates ⋮ A new updating method for the damped mass-spring systems
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